Agendas, Horizons, and the Canadian Introductory Reader : Biggs, C. Lesley, Susan Gingell, and Pamela J. Downe, eds. 2011. Gendered Intersections: An Introduction to Women’s and Gender Studies. Second Edition. Halifax, NS: FernwoodCrow, Barbara, and Lise Gotell, eds. 2009. Open Boundaries: A Canadian Women’s Studies Reader. Third Edition. Toronto, ON: Pearson Prentice HallHobbs, Margaret, and Carla Rice, eds. 2013. Gender and Women’s Studies in Canada: Critical Terrain. Toronto, ON: Women’s Press
Bibliographic record
Abstract
This essay reviews three Canadian Introduction to Gender and Women’s Studies readers, asking what they might reveal about the investments and values that animate teaching in Gender and Women’s Studies. It argues that the texts are incommensurable with current theoretical and methodological trends in Gender and Women’s Studies and considers what each offers to the field.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.002 | 0.006 |
| Meta-epidemiology (narrow) | 0.002 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.007 | 0.013 |
| Science and technology studies | 0.015 | 0.009 |
| Scholarly communication | 0.014 | 0.006 |
| Open science | 0.003 | 0.003 |
| Research integrity | 0.003 | 0.004 |
| Insufficient payload (model declined to judge) | 0.038 | 0.007 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".